Learning to Optimize

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5 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

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  1. ORDO: Operation-level Round-aware Dynamic Ordering for MIP Presolve

    Oct 8, 2026Zehuan Chen, Chunhe SongMixed-Integer Linear ProgrammingLearning to Optimize

    Institute of Industrial Artificial Intelligence, CAS

  2. Outperformance Inverse Optimization: Learning Objective Functions that Outperform Agent Decisions

    Oct 7, 2026Akira KitaokaLearning to OptimizeMixed-Integer Linear Programming

  3. Lightweight and Versatile Learned Optimization by Recombination of Gradient History

    Oct 7, 2026Minyoung Choi, Dalta Imam Maulana, Wanyeong JungLearning to Optimize

    KAIST Daejeon, Republic of Korea

  4. A Decision-Focused Neural Optimization Framework for Personalized Route Reproduction from Vehicle Trajectories

    Oct 6, 2026Gyeongjun Kim, Yeseul Kang, Keemin SohnLearning to OptimizeCombinatorial Optimization

    Department of Smart City, Chung-Ang University, Seoul, Korea · Department of Urban Engineering, Chung-Ang University, Seoul, Korea · Department of Urban Engineering, Department of Smart City, Chung-Ang University, Seoul, Korea

  5. An overview of machine learning-enhanced iterative methods for systems of linear and nonlinear equations

    Oct 5, 2026Yuhuang Meng, Jing Zhao, Alexander HeinleinLearning to OptimizeScientific ML

    Delft Institute of Applied Mathematics, Delft University of Technology, Mekelweg 4, Delft, 2628 CD, the Netherlands · Department of Hydrodynamics and Forecasting, Deltares, Boussinesqweg 1, Delft, 2629 HV, the Netherlands

  6. Learned Preconditioning for a Primal-Dual Interior-Point Method

    Sep 28, 2026Abhinav Madabhushi, Jialin Liu, Minxin ZhangPrimal-Dual OptimizationLearning to Optimize

    Department of Mathematics, University of California, Los Angeles · School of Data, Mathematical, and Statistical Sciences, University of Central Florida

  7. SOLAR: A State-Driven Online Learning Rate Scheduler for LLM Pretraining

    Sep 28, 2026Qiulin Shang, Binyu Wang, Yongqi Qiao +3Language Model PretrainingLearning Rate Scheduling

    Peking University · Nanjing University

  8. A Particle-Swarm-Assisted Gradient Meta-Learning Algorithm for Joint Transmit Precoding and STAR-RIS Coefficient Optimization

    Sep 24, 2026Kang ZhouReconfigurable Intelligent SurfacesLearning to Optimize

    School of Artificial Intelligence, Mianyang City College, Mianyang 621000, China

  9. Learning to Optimize UAV Path Planning for Data Sensing in Wireless Sensor Networks

    Sep 15, 2026Sijie Ma, Zeyuan Ma, Weijia Cao +4Robotic Data CollectionMetaheuristic Optimization

    South China University of Technology · South China Normal University · Information Research Institute, CAS +2

  10. Graph Matching Relaxations and Amortization for Supervised Graph Prediction

    Sep 14, 2026Federico Méndez, Paul Krzakala, Gabriel Melo +3Learning to OptimizeGraph Matching

    LTCI, Télécom Paris · Institut Polytechnique de Paris · CMAP, École Polytechnique

  11. Feasible but Not Safe: Constraint Violations and Report-Channel Attacks in Learned Cell-Free ISAC Association

    Sep 2, 2026Mehdi Zafari, Iman Mohammadi, A. Lee SwindlehurstGraph Neural NetworksIntegrated Sensing and Communication

    University of California Irvine · Irvine, CA, USA

  12. Reinforcement learning to choose optimizers

    Sep 1, 2026Martin van der Schelling, Deepesh Toshniwal, Miguel A. BessaLearning to Optimize

    Department of Mechanical Engineering Delft University of Technology, Delft, the Netherlands · Institute of Applied Mathematics Delft University of Technology, Delft, the Netherlands · School of Engineering Brown University, Providence, RI, USA

  13. Amortized Anchor Refinement for Deployable Continuous-Time 4D Gaussian Reconstruction

    Aug 31, 2026Jingong Chen, Qingwen Zhang, Sanghyeon Jun +33D Gaussian Splatting4D Reconstruction

    Department of Electrical Engineering & Computer Science, South Dakota State University, Brookings, SD, USA · Department of Robotics, Perception and Learning, KTH Royal Institute of Technology, Stockholm, Sweden · Department of Built Environment, Aalto University, Espoo, Finland

  14. Implicit Q-learning-bootstrapped ant colony optimization for maritime moving-target observation scheduling with agile satellites

    Aug 25, 2026He Wang, Junyu Wu, Yeye Liu +5Metaheuristic OptimizationLearning to Optimize

    College of Intelligent Science and Engineering, Harbin Engineering University, Harbin 150001, China · School of Electrical and Control Engineering, North University of China, Taiyuan 030051, China · School of Information Science and Technology, Dalian Maritime University, Dalian 116026, China

  15. Admission Without Answers: Label-Free Certification and Experience Learning for LLM-Based Optimization Modeling

    Aug 16, 2026Junbo Jacob Lian, Huiling Chen, Hanzhang Qin +1Large Language Model-Guided OptimizationLearning to Optimize

    Institute of Operations Research and Analytics National University of Singapore, Singapore · Wenzhou Buyi Pharmacy, Wenzhou, China · College of Computer Science and Artificial Intelligence Wenzhou University, Wenzhou, China

  16. Uncovering expert objectives in production planning via inverse optimization: An industrial case study

    Aug 7, 2026Shivi Dixit, Rishabh Gupta, Adam Kelloway +2ManufacturingLearning to Optimize

    Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, MN 55455, USA · The Dow Chemical Company, Midland, MI 48642, USA · Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA

  17. FunL2O: LLM-Guided Feature Function Design for Learning to Optimize

    Jul 29, 2026Bingheng Li, Junyang Cai, Yupeng Zhang +3Large Language Model-Guided OptimizationLearning to Optimize

    Michigan State University · University of Southern California · University of Wisconsin–Madison +1

  18. Greedy dynamical meta-learning

    Jul 27, 2026Aria YomMeta-LearningNeural Network Optimization

    Rhodora

  19. Learning to Optimize: Joint Routing and Flow Allocation on Sparse Non-Euclidean Networks

    Jul 26, 2026Haomiao Sun, Fang He, Congyuan Ji +1Graph Attention NetworksLearning to Optimize

    Department of Industrial Engineering, Tsinghua University, Beijing 100084, P.R. China · School of Management Science and Engineering, Central University of Finance and Economics, Beijing 100081, P.R. China

  20. NeurGO: Learning to Generate Elite Candidates for Meta-Black-Box Expensive Optimization

    Jul 26, 2026Jintao He, Huixiang Zhen, Wenyin GongBlack-Box OptimizationLearning to Optimize

    China University of Geosciences, Wuhan, China

  21. Complexity Bounds and Approaches to Learning Projected Gradient Descent Solver Iterates

    Jul 24, 2026Anjian Li, Ryne BeesonGradient DescentLearning to Optimize

    Department of Electrical and Computer Engineering Princeton University, Princeton, NJ 08544, USA · Department of Mechanical and Aerospace Engineering Princeton University, Princeton, NJ 08544, USA

  22. Explicit Iteration Complexity of Exact Data-Driven Inverse Optimization for Integer Linear Programs

    Jul 24, 2026Akira KitaokaLearning to OptimizeInteger Linear Programming

  23. Searching the Space of Feed-Forward Neural-Network Weight-Update Rules with Fixed Depth Symbolic Regression

    Jul 23, 2026Charles Brum, Edward FinkelsteinNeural Network OptimizationLearning to Optimize

    San Diego, California, USA · UCI, USA

  24. Memory-Computation Tradeoffs in Semi Amortized Parametric Optimization

    Jul 22, 2026Shijie Pan, Agustin Castellano, Zeyu Shen +1Learning to OptimizeLearning-Augmented Algorithms

    Department of Electrical and Computer Engineering, Johns Hopkins University · Department of Applied Mathematics and Statistics, Johns Hopkins University Baltimore, MD 21218, USA

  25. Low-Latency Relay Selection in NR-V2X Vehicular Communications via Graph Isomorphism Networks with Edge Features

    Jul 15, 2026Giambattista Amati, Federica Mangiatordi, Emiliano Pallotti +3Mixed-Integer Linear ProgrammingLearning to Optimize

    Fondazione Ugo Bordoni (FUB) Rome, Italy · University of Rome Tor Vergata (UniRoma2) Rome, Italy

  26. Learning Adaptive Solvers for Distributed Factor Graph Optimization on Matrix Lie Groups

    Jul 9, 2026Jaeho Shin, Maani Ghaffari, Yulun TianFactor Graph OptimizationRiemannian Optimization

    University of Michigan

  27. Efficient Long-Horizon Learning for Learned Optimization

    Jul 7, 2026Xiaolong Huang, Benjamin Thérien, James Harrison +1Meta-LearningLearning to Optimize

    Mila - Quebec AI Institute · Concordia University · Université de Montréal +1

  28. Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks

    Jun 27, 2026Young-Jun Lee, Seungone Kim, Minki Kang +5Supervised Fine-TuningEvolutionary Optimization

    University of Minnesota · Carnegie Mellon University · KAIST +3

  29. Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application

    Jun 24, 2026Tinghan Ye, Shuaicheng Tong, Changkun Guan +2Stochastic OptimizationLearning to Optimize

    H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332 · Tippie College of Business, University of Iowa, Iowa City, IA 52242

  30. Fusing Backdoors, Machine Learning, and Optimization for Large-Scale Parametric Mixed-Integer Programs

    Jun 19, 2026El Mehdi Er Raqabi, Pascal Van HentenryckLearning to OptimizeCombinatorial Optimization

    Department of Operations and Decision Systems, Université Laval, Québec, Canada · H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, USA